基于信任与能耗均衡的安全分簇路由协议

doi:10.13190/j.jbupt.2018-158

北京邮电大学学报 ›› 2019, Vol. 42 ›› Issue (3): 29-36.doi: 10.13190/j.jbupt.2018-158

基于信任与能耗均衡的安全分簇路由协议

潘蕾娜, 陶洋, 许湘扬, 王进

重庆邮电大学通信与信息工程学院, 重庆 400065

收稿日期:2018-09-16 出版日期:2019-06-28 发布日期:2019-06-20
通讯作者: 陶洋(1964-),男,教授,研究生导师,E-mail:taoyang@cqupt.edu.com. E-mail:taoyang@cqupt.edu.com
作者简介:潘蕾娜(1994-),女,硕士生.
基金资助:
国家自然科学基金项目（61801072）；重庆市基础研究与前沿探索项目（cstc2018jcyjAX0344）

A Secure Clustering Routing Protocol Based on Trust and Balancing Energy Consumption

PAN Lei-na, TAO Yang, XU Xiang-yang, WANG Jin

College of Communication and Information Engineering, Chongqing University of Posts and Telecommunication, Chongqing 400065, China

Received:2018-09-16 Online:2019-06-28 Published:2019-06-20

摘要/Abstract

摘要： 针对现有信任感知路由协议中信任模型较为简单且能耗优化不足的问题，提出了一种基于信任与能耗均衡的安全分簇路由协议（SCR-TBE）.采用模糊综合评判模型并引入多种评判因素计算直接信任，根据偏离度对推荐信任进行过滤与权重分配，并在计算综合信任时考虑历史信任.同时设计簇头惩罚系数，加快恶意簇头的识别与隔离的速度.通过划分监控区域进行非均匀分簇，缓解能量空洞现象.将节点信任值、剩余能量以及数据传输距离作为路由选择因素.设计入簇函数与转发函数，降低恶意节点参与数据传输的几率.仿真结果表明，所提协议与LEACH-C协议和TLES协议相比，数据包数目与能耗均衡性均得到较大提高，提升了无线传感器网络的安全性与可靠性.

关键词: 无线传感器网络, 信任评估, 安全路由, 能耗均衡

Abstract: Aiming at the problems that the trust model is simple and the energy consumption is not optimized enough in the existing trust-aware routing protocols. A secure clustering routing protocol based on trust and balancing energy consumption (SCR-TBE) is proposed. Introducing multiple evaluation factors, direct trust is calculated by fuzzy comprehensive evaluation model, and the recommendation trust is filtered and weighted allocation based on the deviation degree, and comprehensive trust is calculated added historical trust value. And the cluster head penalty coefficient is designed to speed up the identification and isolation of malicious cluster heads. By dividing the monitoring area, the unequal clustering is achieved to alleviate the energy hole phenomenon. The node trust value, dump energy and data transmission distance are chosen as routing factors. The cluster function and forwarding function are designed to reduce the chance of malicious nodes participating in data transmission. Simulation results show that, compared with LEACH-C and TLES protocols, both the number of data packets and the energy consumption balance have been greatly improved, enhancing the security and reliability of wireless sensor networks.

Key words: wireless sensor networks, trust evaluation, secure routing, balancing energy consumption

中图分类号:

TP393

潘蕾娜, 陶洋, 许湘扬, 王进. 基于信任与能耗均衡的安全分簇路由协议[J]. 北京邮电大学学报, 2019, 42(3): 29-36.

PAN Lei-na, TAO Yang, XU Xiang-yang, WANG Jin. A Secure Clustering Routing Protocol Based on Trust and Balancing Energy Consumption[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(3): 29-36.

参考文献

[1] Ishmanov F, Kim S W, Nam S Y.A secure trust establishment scheme for wireless sensor networks[J].Sensors, 2014, 14(1):1877-1897.
[2] Geetha V, Chandrasekaran K.Trust factor based LEACH-C protocol for wireless sensor networks[J].International Journal of Computer Applications, 2014, 106(18):43-48.
[3] Fan Xiangning, Song Yulin.Improvement on LEACH protocol of wireless sensor network[C]//International Conference on Sensor Technologies and Applications.New York:IEEE Press, 2007:260-264.
[4] Liao Hongmei, Ding Shifei.Mixed and continuous strategy monitor-forward game based selective forwarding solution in WSN[J].International Journal of Distributed Sensor Networks, 2015, 12(1):1-13.
[5] Zhang Wei, Zhu Shiwei, Tang Jian, et al.A novel trust management scheme based on Dempster-Shafer evidence theory for malicious nodes detection in wireless sensor networks[J].The Journal of Supercomputing, 2018, 74(44):1779-1801.
[6] 姚雷, 王东豪, 梁璇, 等.无线传感器网络多层次模糊信任模型研究[J].仪器仪表学报, 2014, 35(7):1606-1613.Yao Lei, Wang Donghao, Liang Xuan, et al.Research on multi-level fuzzy trust model for wireless sensor networks[J].Chinese Journal of Scientific Instrument, 2014, 35(7):1606-1613.
[7] 刘金鑫.无线传感器网络信任评估模型与方法研究[D].北京:北京交通大学, 2015.
[8] 谢季坚, 刘承平.模糊数学方法及其应用(第2版)[M].武汉:华中科技大学出版社, 2000:128-150.
[9] 李树江, 佟以鑫, 王向东, 等.一种基于无线传感器网络安全的能量优化路由算法[J].大连理工大学学报, 2016, 56(2):193-201.Li Shunjiang, Tong Yixin, Wang Xiangdong, et al.An energy-optimization routing algorithm based on security of wireless sensor network[J].Journal of Dalian University of Technology, 2016, 56(2):193-201.
[10] Chen Guihai, Li Chengfa, Ye Mao, et al.An unequal cluster-based routing protocol in wireless sensor networks[J].Wireless Networks, 2009, 15(2):193-207.
[11] 杨柳.基于分簇结构的无线传感器网络节能路由协议研究[D].重庆:重庆大学, 2016.
[12] Chen Zuo, He Min, Liang Wei, et al.Trust-aware and low energy consumption security topology protocol of wireless sensor network[J].Journal of Sensors, 2015, 23(1):221-220.
[13] Yang Liu, Lu Yinzhi, Zhong Yuanchang, et al.An unequal cluster-based routing scheme for multi-level heterogeneous wireless sensor networks[J].Telecommunication Systems, 2018, 68(1):11-26.

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基于信任与能耗均衡的安全分簇路由协议

A Secure Clustering Routing Protocol Based on Trust and Balancing Energy Consumption

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